It's not that there's only 10% left to improve. It's that the data needed, compute requirements, and model size are as intensive, getting from 0 to 80 as they a

It's not that there's only 10% left to improve. It's that the data needed, compute requirements, and model size are as intensive, getting from 0 to 80 as they are getting from 80 to ~85 or ~90. See https://paperswithcode.com/sota/image-classification-on-imagenet https://paperswithcode.com/sota/image-classification-on-imag...